Cloud-level analytics for boiler networks

A method executed by a cloud system comprising at least one processor and communicatively coupled over a public network to an industrial boiler system comprising one or more boilers, the method comprising:

• receiving, over a public network by the cloud system comprising at least one processor, industrial data from the one or more boilers associated with a currently executing process of the industrial boiler system associated with one or more loads and demand data from the one or more loads of the industrial boiler system;
• creating, by the cloud system, a boiler behavioral model based on analysis of the industrial data and the demand data, wherein the boiler behavioral model comprises at least one-efficiency curve between efficiency and capacity associated with the one or more boilers;
• storing, by the cloud system, the boiler behavioral model on the cloud-based system;
• determining, by the cloud system, a respective value for each of at least one set point parameter for the one or more boilers based on an iterative analysis of the boiler behavioral model and a defined optimization criterion;
• and
• issuing, by the cloud system over the public network, a control command to at least one controller associated with the one or more boilers, wherein the control command initiates the controller to employ the respective values of the at least one set point parameter during execution of the executing process of the industrial boiler system.

A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause a cloud system comprising a processor and communicatively coupled over a public network to an industrial boiler system comprising one or more boilers to perform operations comprising:

• receiving, over the public network, industrial data from the one or more boilers associated with a currently executing process of the industrial boiler system associated with one or more loads and demand data from the one or more loads of the industrial boiler system;
• generating a boiler behavioral model based on analysis of the industrial data and the demand data, wherein the boiler behavioral model comprises at least one efficiency curve between efficiency and capacity associated with the one or more boilers;
• storing the boiler behavioral model;
• generating a respective value for each of at least one set point parameter for the one or more boilers based on an iterative analysis of the boiler behavioral model and a defined optimization criterion;
• transmitting, over the public network, a control command to at least one controller associated with the one or more boilers, wherein the control command controls the controller to employ the respective values of the at least one set point parameter during execution of the executing process of the industrial boiler system.